Project Overview
We developed an AI recruitment platform that screens applications, matches candidates to roles on skills and fit, and automates scheduling — helping recruiters focus on people instead of paperwork while reducing bias.
The Challenge
Recruiters were overwhelmed by application volume, strong candidates were missed in keyword filters, and manual screening introduced inconsistency and bias.
- Thousands of applications per role to triage manually
- Keyword filters rejected qualified non-standard profiles
- Inconsistent screening criteria across recruiters
- Scheduling back-and-forth wasted days
Our Strategic Approach
We used semantic matching to score candidates on actual skills and experience rather than keywords, paired with structured, criteria-based evaluation to improve fairness and consistency.
The Solution We Delivered
The platform ranks candidates with explainable match scores, generates structured screening summaries, and automates interview scheduling end to end.
- Semantic resume-to-role matching with explainable scores
- Structured, criteria-based screening summaries
- Bias-mitigation controls and audit logging
- Automated interview scheduling and reminders
- Talent-pool search across past applicants
- Recruiter dashboard with pipeline analytics
Technologies Used
- Embedding models — Semantic candidate-role matching
- LLM — Screening summaries and structured evaluation
- pgvector — Candidate similarity search
- Next.js — Recruiter dashboard and workflows
- Node.js — Matching and scheduling services
- PostgreSQL — Candidate and pipeline data
Development Process
- Hiring-flow mapping — Documented screening criteria and pipeline stages.
- Matching engine — Built semantic scoring with explainability.
- Fairness controls — Added bias-mitigation rules and audit logging.
- Scheduling automation — Integrated calendars for self-serve interview booking.
- Validation — Back-tested rankings against past successful hires.
Results & Impact
Recruiters moved faster and surfaced stronger, more diverse shortlists with consistent criteria.
- Time-to-shortlist reduced by 65%
- Quality-of-hire signals improved on validated cohorts
- Scheduling time cut from days to minutes
- More consistent, auditable screening decisions
🎯 Key Takeaway
AI-assisted recruitment let the team evaluate more candidates fairly and faster, keeping human judgment central to final decisions.
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